Cheng Gong, Dongfang Xu, Zhihao Zhou, N. Vitiello, Qining Wang
{"title":"基于bpnn的主动骨盆矫形器不同辅助策略运动模式实时识别","authors":"Cheng Gong, Dongfang Xu, Zhihao Zhou, N. Vitiello, Qining Wang","doi":"10.1142/s0219843620500048","DOIUrl":null,"url":null,"abstract":"Real-time human intent recognition is important for controlling low-limb wearable robots. In this paper, to achieve continuous and precise recognition results on different terrains, we propose a re...","PeriodicalId":312776,"journal":{"name":"Int. J. Humanoid Robotics","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"BPNN-Based Real-Time Recognition of Locomotion Modes for an Active Pelvis Orthosis with Different Assistive Strategies\",\"authors\":\"Cheng Gong, Dongfang Xu, Zhihao Zhou, N. Vitiello, Qining Wang\",\"doi\":\"10.1142/s0219843620500048\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Real-time human intent recognition is important for controlling low-limb wearable robots. In this paper, to achieve continuous and precise recognition results on different terrains, we propose a re...\",\"PeriodicalId\":312776,\"journal\":{\"name\":\"Int. J. Humanoid Robotics\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-01-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Int. J. Humanoid Robotics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1142/s0219843620500048\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. Humanoid Robotics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1142/s0219843620500048","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
BPNN-Based Real-Time Recognition of Locomotion Modes for an Active Pelvis Orthosis with Different Assistive Strategies
Real-time human intent recognition is important for controlling low-limb wearable robots. In this paper, to achieve continuous and precise recognition results on different terrains, we propose a re...